June 23, 2022, 1:10 a.m. | Tetyana Honcharenko, Roman Akselrod, Andrii Shpakov, Oleksandr Khomenko

cs.LG updates on arXiv.org arxiv.org

This study is devoted to solving the problem to determine the professional
adaptive capabilities of construction management staff using artificial
intelligence systems.It is proposed Fully Connected Feed-Forward Neural Network
architecture and performed empirical modeling to create a Data Set. Model of
artificial intelligence system allows evaluating the processes in an Fully
Connected Feed-Forward Neural Network during the execution of multi-value
classification of professional areas. A method has been developed for the
training process of a machine learning model, which reflects …

artificial artificial intelligence arxiv classification construction construction management intelligence lg management network neural network value

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